The high prevalence of chronic kidney disease (CKD) is a significant public health concern
globally. The condition has a high mortality rate, especially in developing countries. CKD …

Background and objective In recent years, several automatic sleep stage classification
methods based on convolutional neural networks (CNN) by learning hierarchical feature …

Objective Manual sleep staging on overnight polysomnography (PSG) is time-consuming
and laborious. This study aims to develop an end-to-end automatic sleep staging method in …

The problem of imbalanced datasets is a significant concern when creating reliable credit
card fraud (CCF) detection systems. In this work, we study and evaluate recent advances in …

Respiratory scoring is an important step in the diagnosis of Obstructive Sleep Apnea (OSA).
Airflow, abdolmel-thorax and pulse oximetry signals are obtained with the help of …

Abstract Stage 1 (S1) and REM sleep are the two key stages in EEG-based sleep stage
classification, which are of great significance to the study of neurocognitive ability and sleep …

BACKGROUND: Sleep staging is an important part of sleep research. Traditional automatic
sleep staging based on machine learning requires extensive feature extraction and …

Purpose To investigate changes and links of stress and high sleep reactivity (H-SR) on the
macro-structure and orderliness of sleep and cortisol levels in good sleepers (GS). Patients …

Introduction Sleep is an essential function to sustain a healthy life, and sleep dysfunction
can cause various physical and mental issues. In particular, obstructive sleep apnea (OSA) …

To date, dynamic sleep environment has been attracted the focus of researchers. Owing to
the individual difference on sleep phase and thermal comfort, changes in sleep environment …